Biomedical signals based computer-aided diagnosis for neurological disorders/ (Record no. 1253)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03031nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230220121544.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230220b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030978440 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | KCST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 616.80475 |
| Item number | Bi |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Murugappan, M. |
| 9 (RLIN) | 5723 |
| 245 ## - TITLE STATEMENT | |
| Title | Biomedical signals based computer-aided diagnosis for neurological disorders/ |
| Statement of responsibility, etc. | M. Murugappan, Rajamanickam Yuvraj (Editors) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cham, Switzerland, |
| Name of publisher, distributor, etc. | Springer, |
| Date of publication, distribution, etc. | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 289 p. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Abnormal EEG detection using time-frequency images and convolutional neural network<br/>2. Physical action categorization pertaining to certain neurological disorders using machine learning based signal analysis<br/>3. A comparative study on EEG features for neonatal seizure detection<br/>4. Hilbert huang transform (HHT) analysis of heart rate variability (HRV) in recognition of emotion in children with autism spectrum disorder (ASD)<br/>5. Detection of tonic-clonic seizures using scalp EEG of spectral moments<br/>6. Investigation of the brain activation pattern of stroke patients and healthy individuals during happiness and sadness<br/>7. A novel parametric non-stationary signal model for EEG signals and its application in epileptic seizure detection<br/>8. Biomedical signal analysis using entropy measures: A case study of motor imaginary BCI in end-users with disability<br/>9. Automatic detection of epilepsy using CNN-GRU hybrid model<br/>10. Catalogic systematic literature review of hardware-accelerated neurodiagnostic<br/>11. Wearable Real-time Epileptic Seizure Detection and Warning System<br/>12. Analysis of Intramuscular Coherence of Lower Limb Muscles Activities using Magnitude Squared Coherence |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders. Presents the concepts of CAD for various neurological disorders; Covers biomedical signal processing and machine learning/deep learning techniques; Includes case studies, real-time examples, and research directions |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electronic books |
| 9 (RLIN) | 5719 |
| Topical term or geographic name entry element | Medical informatics |
| 9 (RLIN) | 5720 |
| Topical term or geographic name entry element | Nervous system Diseases Diagnosis |
| 9 (RLIN) | 5721 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yuvaraj, Rajamanickam |
| 9 (RLIN) | 5722 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Reference |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| KCST Library | KCST Library | 2023-02-20 | 616.80475 Bi | 1000001108 | 2023-02-20 | 2023-02-20 | Reference |